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06/01/2023
Multi-study R-learner for Heterogeneous Treatment Effect Estimation
Estimating heterogeneous treatment effects is crucial for informing pers...
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07/11/2022
Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling
Cross-study replicability is a powerful model evaluation criterion that ...
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07/24/2020
Cross-study learning for generalist and specialist predictions
Jointly using data from multiple similar sources for the training of pre...
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06/20/2020
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations
We investigate the power of censoring techniques, first developed for le...
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05/17/2019